• Research Scientist Intern, AI Core Machine…

    Meta (New York, NY)


    Summary:

    We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

    Required Skills:

    Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:

    1. Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques

    2. Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms

    3. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence

    4. Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)

    5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

    6. Contribute to research that can be applied to Meta product development

    Minimum Qualifications:

    Minimum Qualifications:

    7. Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field

    8. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

    9. Experience with Python, C++, C, Java or other related language

    10. Experience with deep learning frameworks such as Pytorch or Tensorflow

    11. Experience building systems based on machine learning and/or deep learning methods

    12. Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar

    Preferred Qualifications:

    Preferred Qualifications:

    13. Intent to return to degree program after the completion of the internship/co-op

    14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar

    15. Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches

    16. ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio

    17. Experience building systems based on machine learning, reinforcement learning and/or deep learning methods

    18. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

    19. Experience working and communicating cross functionally in a team environment

    Public Compensation:

    $7,650/month to $12,134/month + benefits

    **Industry:** Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

     

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].